Graph-Based Visualization & Analysis of Azerbaijani Web

Understanding the dynamics of the Azerbaijani internet landscape is crucial for analyzing information dissemination patterns and assessing national cybersecurity resilience. This study employs web crawling techniques and graphical analysis to construct a comprehensive network diagram of local websites. The objective is twofold: first, to catalog and analyze local web entities using a Python-based crawler integrated with databases; second, to visualize the web structure using graph theory and evaluate node importance through ranking algorithms. Data extraction from Ministry of Communication & Information Technologies' databases feeds into both Postgres and Neo4j databases, facilitating graph representation where nodes and edges denote websites and their relationships. The results emphasize visualization insights with ongoing analytical implementations for comprehensive web mapping.